SenseLab
Computational model
  Data
Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017)
Daniel Jercog
JercogEtAl2017 [14305]
In the idling brain, neuronal circuits transition between periods of sustained firing (UP state) and quiescence (DOWN state), a pattern the mechanisms of which remain unclear. We analyzed spontaneous cortical population activity from anesthetized rats and found that UP and DOWN durations were highly variable and that population rates showed no significant decay during UP periods. We built a network rate model with excitatory (E) and inhibitory (I) populations exhibiting a novel bistable regime between a quiescent and an inhibition-stabilized state of arbitrarily low rate, where fluctuations triggered state transitions. In addition, we implemented these mechanisms in a more biophysically realistic spiking network, where DOWN-to-UP transitions are caused by synchronous high-amplitude events impinging onto the network.
  • Abstract integrate-and-fire leaky neuron Show Other
  • Jercog D, Roxin A, Barthó P, Luczak A, Compte A, de la Rocha J (2017) Show Other
  • Jercog, Daniel [daniel dot jercog at inserm dot fr] Show Other
daniel.jercog@inserm.fr
Jercog, Daniel [daniel dot jercog at inserm dot fr]
False
False
Other categories referring to Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017)
Revisions: 24
Last Time: 8/1/2017 11:20:45 AM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin